Abstract
Having a complete coastline region around 7516 km with a 5400 km. long territory coastline, India is exceptionally susceptible to common perils like tropical cyclones (TCs). The investigation dependent on the historic datasets (1891–2019) of TCs over the North Indian Ocean (NIO) additionally guarantees that the four seaside states (West Bengal, Odisha, Andhra Pradesh, and Tamil Nadu) and one union territory (Pondicherry/Puducherry) on the east coast much of the time face cyclonic tempest than other seaside parts of India. The periodical pattern (pre-monsoon, monsoon, and post-monsoon) of cyclonic tempests over the Bay of Bengal (BoB) and Arabian Sea (AS) over the past 150 years likewise help to unfurl the way that the West Bengal and Odisha coast are unmasked to TCs generally during the storm season (June to September) including with robust winds, heavy precipitation, and high tempest surge. The extremely severe cyclonic storm (ESCS) Fani is the most extraordinary summer cyclones, the first one in quite a while to strike the seaside part of Odisha on May 3, 2019, and one of the three most exceedingly terrible cyclones over the past 150 years with a supported surface wind speed of 175–180 kph. Odisha has been influenced unpleasantly because of the supremacy of Fani. While the loss of life was restricted within 64 because of the fast evacuation of almost 1.68 million persons, the executioner cyclone has caused excessive destructions to sociable extents (lodging, education, and food security), beneficial areas (cultivation, fisheries, and domesticated animals), and informative zones (power, telecom, street, water offices, and public constructions). The measured costs have arrived at almost 4.18 billion United States Dollar (USD) just in Odisha. The southern portion of West Bengal has additionally been influenced severely because of extraordinary downpours and high tempest surges (2–3 m above mean sea level). In this study, we used remote sensing-based Sentinel-1 Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) Level-1 datasets through Google Earth Engine (GEE) platform for evaluating the fatal cyclone Fani. Hereafter, the current investigation effectively advocates the historic experience of TCs over NIO with specific reference to ESCS Fani including its meteorological instability, readiness, and the path of annihilation.